Demographics details for Mercer, PA vs Martinsburg, WV
Population Overview
Compare main population characteristics in Mercer, PA vs Martinsburg, WV.
| Data | Mercer | Martinsburg |
|---|---|---|
| Population | 109,220 | 18,953 |
| Median Age | 45.0 years | 36.4 years |
| Median Income | $57,353 | $55,240 |
| Married Families | 42.0% | 29.0% |
| Poverty Level | 10% | 8% |
| Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Mercer vs Martinsburg
- In Mercer, the population is higher at 109,220, compared to 18,953 in Martinsburg.
- Residents in Mercer have a higher median age of 45.0 years compared to 36.4 years in Martinsburg.
- Mercer has a higher median income of $57,353 compared to $55,240 in Martinsburg.
- A higher percentage of married families is found in Mercer at 42.0% compared to 29.0% in Martinsburg.
- Mercer has a higher poverty level at 10% compared to 8% in Martinsburg.
- Martinsburg has a higher unemployment rate at 4.5% compared to 4.2% in Mercer.
Demographics
Demographics Mercer vs Martinsburg provide insight into the diversity of the communities to compare.
| Demographic | Mercer | Martinsburg |
|---|---|---|
| Black | 6 | 13 |
| White | 87 | 69 |
| Asian | 1 | 1 |
| Hispanic | 2 | 6 |
| Two or More Races | 4 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mercer vs Martinsburg
- In Martinsburg, the percentage of Black residents is higher at 13% compared to 6% in Mercer.
- Mercer has a higher percentage of White residents at 87% compared to 69% in Martinsburg.
- Both Mercer and Martinsburg have the same percentage of Asian residents at 1%.
- Martinsburg has a higher percentage of Hispanic residents at 6%, compared to 2% in Mercer.
- The percentage of residents identifying as two or more races is higher in Martinsburg at 11%, compared to 4% in Mercer.
- The percentage of American Indian residents is the same in both Mercer and Martinsburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mercer | Martinsburg |
|---|---|---|
| Mental Health Not Good | 17.8% | 21.8% |
| Physical Health Not Good | 12.1% | 15.8% |
| Depression | 23.7% | 27.7% |
| Smoking | 20.1% | 24.7% |
| Binge Drinking | 18.5% | 12.6% |
| Obesity | 40.3% | 43.0% |
| Disability Percentage | 18.0% | 17.0% |
Health Statistics Comparison: Mercer vs Martinsburg
- In Martinsburg, a higher percentage report poor mental health at 21.8% compared to 17.8% in Mercer.
- Higher depression rates are seen in Martinsburg at 27.7% versus 23.7% in Mercer.
- Martinsburg has a higher smoking rate at 24.7% compared to 20.1% in Mercer.
- Binge drinking is more common in Mercer at 18.5% compared to 12.6% in Martinsburg.
- Martinsburg has higher obesity rates at 43.0% compared to 40.3% in Mercer.
- Disability percentages are higher in Mercer at 18.0% compared to 17.0% in Martinsburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mercer | Martinsburg |
|---|---|---|
| No Schooling | 0.6% (662) | 0.8% (144) |
| High School Diploma | 26.5% (28,924) | 16.7% (3,171) |
| Less than High School | 13.0% (14,161) | 13.5% (2,556) |
| Bachelor's Degree and Higher | 17.4% (19,021) | 16.2% (3,077) |
Education Levels Comparison: Mercer vs Martinsburg
- In Martinsburg, a larger percentage of residents lack formal schooling at 0.8% compared to 0.6% in Mercer.
- A higher percentage of residents in Mercer hold a high school diploma at 26.5% compared to 16.7% in Martinsburg.
- The percentage of residents with less than a high school education is higher in Martinsburg at 13.5%, compared to 13.0% in Mercer.
- A higher percentage of residents in Mercer hold a bachelor's degree or higher at 17.4% compared to 16.2% in Martinsburg.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.